Supervised classification of multidimensional and irregularly sampled signals

“Crop Type Identification and Mapping Using Machine Learning Algorithms and Sentinel-2 Time Series Data,” IEEE Journal of Selected Topics in Applied Earth Observations and

Because we are interested in the simultaneous emer- gence both of discrete and of compositional sig- nals, we use a Function Game called the Extremity Game designed to incentivize

Mathematical Morphology on Irregularly Sampled Data Applied to Segmentation of 3D Point Clouds of

Detection is achieved by first separating the EEG signals into the five brain rhythms by using a wavelet decomposition, and then using a general- ized Gaussian statistical model to

2) Local CRB: In [23 ], we calculate the appropriate CRBs, denoted by crb , for local-model parameters (8) of short- time signals whose amplitudes and frequencies are modeled as

In the case where the unmeasured subspace is stable, we employ a standard impulsive observer coupled with a continuous linear feedback control.. Next, when the unmeasured subspace

formed a sill was found to be determined by a balance between its initial buoyancy, which drove the crack upwards, and the applied horizontal compressive stress that opposed

Given the goal of recognizing objects based on their features, the main task of an automated recognition system can be divided into three basic subtasks: the description subtask